James Khan's Projects
Graph-neural-network
[CVPR 2021] Involution: Inverting the Inherence of Convolution for Visual Recognition, a brand new neural operator
This repository contains code to pre-process the LIDC-IDRI dataset of CT-scans with pulmonary nodules into a binary classification problem, easy to use for learning deep learning
lidc nodule detection with CNN and LSTM network
An implement of paper "Multi-level Contextual 3D CNNs for False Positive Reduction in Pulmonary Nodule Detection"
mean Average Precision - This code evaluates the performance of your neural net for object recognition.
Detction, segmentation, classification, etc.
Repository containing notebooks of my posts on Medium
Anomaly detection on the UC Berkeley milling data set using a disentangled-variational-autoencoder (beta-VAE). Replication of results as described in my MASc thesis.
A Trimap-Free Portrait Matting Solution in Real Time [AAAI 2022]
MultiMix: Sparingly Supervised, Extreme Multitask Learning From Medical Images
An implementation of MVP-Net: Multi-view FPN with Position-aware Attention for Deep Universal Lesion Detection.
An open source AutoML toolkit for neural architecture search and hyper-parameter tuning.
OpenCV projects using python
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[ECCV 2022 oral] OpenLane: Large-scale Realistic 3D Lane Dataset
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Medical image processing based on PaddlePaddle
Pygame
Washington University (in St. Louis) Course T81-558: Applications of Deep Neural Networks
TensorFlow 2.x version's Tutorials and Examples, including CNN, RNN, GAN, Auto-Encoders, FasterRCNN, GPT, BERT examples, etc. TF 2.0็ๅ
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Implementation of the stacked denoising autoencoder in Tensorflow
A collection of inspiring lists, manuals, cheatsheets, blogs, hacks, one-liners, cli/web tools and more.
A professionally curated list of awesome resources (paper, code, data, etc.) on transformers in time series.